AR Based Half-Duplex Attack in Beyond 5G networks
Misbah Shafi, Rakesh Kumar Jha

TL;DR
This paper introduces a novel Half-Duplex attack in beyond 5G networks using Artificial Rain to degrade secrecy, analyzing its performance and comparing it with full-duplex attacks across different scenarios.
Contribution
It proposes a new Half-Duplex attack method leveraging Artificial Rain effects, with detailed performance analysis and comparison to existing full-duplex attacks in 5G networks.
Findings
HD attack maintains low miss rate and improved secrecy performance.
Artificial Rain effectively degrades secrecy rate in various scenarios.
HD attack outperforms full-duplex attack in terms of miss rate and efficiency.
Abstract
With the evolution of WCN (Wireless communication networks), the absolute fulfillment of security occupies the fundamental concern. In view of security, we have identified another research direction based on the attenuation impact of rain in WCN. An approach is initiated by an eavesdropper in which a secure communication environment is degraded by generating Artificial Rain (AR), which creates an abatement in the secrecy rate, and the cybersecurity gets compromised. By doing so, an attacking scenario is perceived, in which an intruder models a Half-Duplex (HD) attack. Half-Duplex specifies the attack on the downlink instead of targeting both uplink and downlink. This allows the attacker to alleviate the miss-rate of the attacking attempts. The layout for the HD attack is explained using RRC (Radio Resource Control)-setup. Further, we have determined and examined the performance…
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